Rasmus Aagaard
Industrial Ph.D. Student at Laerdal Copenhagen
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolRasmus Aagaard is an Industrial PhD student and applied AI researcher based in Copenhagen with 11 years of experience building production-ready ML systems and tooling. Currently at Laerdal and DTU, he focuses on model compression and edge deployment, translating research into deployable solutions for medical and simulation products (including conversational AI in VR and emergency call simulations). His background spans MLOps, NLP, and transformer fine-tuning in Kubernetes environments from roles at Danske Bank and DTU, giving him strong end-to-end experience from research to scaled inference. He also teaches and organizes technical bootcamps, reflecting a knack for making complex ML concepts practical and teachable. Less obvious: he combines hands-on engineering with academic rigor, frequently moving between production constraints and explainability research to improve real-world AI reliability.
11 years of coding experience
4 years of employment as a software developer
EUC Sjælland - HTX NæstvedTechnical University of Denmark
Danish, English
Github Skills (23)
visualization9
python9
statistics9
neuroimaging9
neuroscience9
machine-learning8
gps6
matching6
gis5
data-science5
openstreetmap4
map-matching4
shapefile4
osrm3
overpass-api3
Programming languages (5)
Github contributions (5)
rasgaard/MLOps-project
Jun 2021 - Jun 2021
Project for the course https://github.com/SkafteNicki/dtu_mlops
Contributions:4 PRs, 24 pushes, 3 branches in 13 days
pythondtudevopsmlopsdocker
rasgaard/02462-text_classification
Apr 2020 - Oct 2020
Contributions:14 pushes, 1 branch in 5 months
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